I am a postdoctoral fellow in the lab of Arnold Kriegstein at the University of California, San Francisco (UCSF). I focus on applying single-cell genomics techniques to study the development of specific cell types of the human brain, as well as to understand how these cell types are affected in various diseases, especially autism. Before starting my work at UCSF, I did my PhD at the University of Miami focusing on genomic analysis of autism. I did my B.S. and MS at Moscow State University in my native Russia, where I worked on animal models of epilepsy and Alzheimer’s disease.
Dmitry Velmeshev
Postdoctoral Scholar
University of California, San Francisco
From this contributor
Single-cell analysis suggests brain signaling problems in autism
Recent advances in technology allow researchers to measure RNA that is contained within the nucleus of a single brain cell.
Single-cell analysis suggests brain signaling problems in autism
By
Dmitry Velmeshev, The Conversation
22 May 2019 | 5 min read
Explore more from The Transmitter
Prefrontal cortex has three transcriptomic acts across human lifespan, new atlas suggests
Various genes show distinct exits and entrances with age in the open-source dataset, the largest of its kind to date.
Prefrontal cortex has three transcriptomic acts across human lifespan, new atlas suggests
Various genes show distinct exits and entrances with age in the open-source dataset, the largest of its kind to date.
By
Siddhant Pusdekar
23 September 2026 | 5 min read
Microglia scoop out garbage from inside neurons
Through a newly identified process called skoupocytosis, neurons recruit the immune cells to remove cellular waste they find hard to deal with themselves.
Microglia scoop out garbage from inside neurons
Through a newly identified process called skoupocytosis, neurons recruit the immune cells to remove cellular waste they find hard to deal with themselves.
By
Siddhant Pusdekar
23 September 2026 | 0 min watch
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.
By
Gaute Einevoll
23 September 2026 | 102 min listen